Ryan-Rhys / Heteroscedastic-BOLinks
Heteroscedastic Bayesian Optimisation in Numpy
☆21Updated 2 years ago
Alternatives and similar repositories for Heteroscedastic-BO
Users that are interested in Heteroscedastic-BO are comparing it to the libraries listed below
Sorting:
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆42Updated 4 years ago
- Code to accompany the paper "Constrained Bayesian Optimisation for Automatic Chemical Design" https://pubs.rsc.org/en/content/articlehtml…☆51Updated 2 years ago
- (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination☆19Updated last year
- Bayesian Optimisation for String Spaces☆24Updated 3 years ago
- Library for training Gaussian Processes on Molecules☆36Updated 3 years ago
- Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration☆26Updated last month
- Bayesian optimization with conformal coverage guarantees☆28Updated 2 years ago
- ☆44Updated 2 years ago
- Benchmarking☆29Updated 3 years ago
- ☆30Updated 2 years ago
- SAASBO: a package for high-dimensional bayesian optimization☆43Updated 3 years ago
- Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.☆32Updated 3 years ago
- Modelling the Multiwavelength Variability of Mrk-335 using Gaussian processes☆13Updated 3 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆51Updated last year
- Reinforcement learning for batch bioprocess optimization (Computers & Chemical Engineering, 2020)☆12Updated 3 years ago
- ☆40Updated 3 years ago
- Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.☆40Updated 3 months ago
- List of papers on robust Bayesian optimization☆17Updated 3 years ago
- Uncertainty Quantification for Materials Property Prediction: a Benchmark Study☆15Updated 10 months ago
- Official repository for the paper "Improving black-box optimization in VAE latent space using decoder uncertainty" (Pascal Notin, José Mi…☆31Updated last year
- Library for normalizing flows and neural flows.☆24Updated 3 years ago
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆16Updated 2 years ago
- Golem: an algorithm for robust experiment and process optimization☆17Updated 4 years ago
- Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)☆70Updated last year
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆17Updated last year
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆131Updated 3 years ago
- Zooming Memory Based Initialization (ZoMBI) algorithm for discovery of optima within challenging needle-in-a-haystack (extreme data imbal…☆17Updated last year
- scalable multi-fidelity machine learning☆9Updated 3 years ago
- Comparing graph representations for molecular features prediction☆24Updated last year
- ☆31Updated 2 years ago